Inclusion Economics Research RA: Gender, Governance, or the Environment
Inclusion Economics at Yale University, based at the Economic Growth Center and the MacMillan Center and in collaboration with Inclusion Economics India Centre at IFMR and Inclusion Economics Nepal at Governance Lab, draws upon economics, political science, and related fields to conduct cutting-edge research to understand how policy can promote inclusive, accountable economies and societies.
Our core research focuses on gender, labor economics and women’s economic opportunities; political economy and governance; and environmental economics. Throughout the research life cycle, we engage closely with policy counterparts to ensure we address questions of immediate relevance, and we regularly communicate data-driven insights with policy counterparts and the public.
Yale Inclusion Economics (YIE) is led by Professor Rohini Pande, Henry J. Heinz II Professor of Economics and Director of the Economic Growth Center, and Dr. Charity Troyer Moore, Director of South Asia Economics Research at the MacMillan Center; YIE works closely with teams of researchers based at Yale and other universities.
Depending on need and interest, the RA will provide support to one or more of the studies across the portfolio, which—among others—could include:
- Studying how gender norms are operationalized in Bihar, India, by those in power to create economic advantages;
- Investigating how widespread access to internet and smartphones impacts women’s economic activities, mental health, political engagement, and other outcomes in Chhattisgarh, India;
- Exploring how communicating flood warnings to specific gatekeepers in vulnerable communities can improve mitigation measures;
- How closing information asymmetries among bureaucrats and politicians affects service delivery;
- Informing Nepal’s political transition to federalism; and
- Researching the barriers to women’s accessing smartphones on credit in Nairobi, Kenya.
Requisite Skills and Qualifications
The Scarf RA will help with literature reviews, support ongoing surveys and, depending on skill set, write code to clean survey data, scrape data and conduct initial analysis. Skill and experience with econometrics software such as R or STATA to run econometric analysis, as well as Python skills, is valuable. Successful fellows will be detail oriented and able to work independently.